SNAPPY SNAP INSTALL
NOTE: If you are using pip to create a new environment you will have to install venv package. The reason we are using python version 2.7 is because SNAP software only supports python versions 2.7, 3.3 and 3.4. To run this command, you need to have Anaconda or Miniconda installed on your system already.Ĭreate a new virtual environment called “snap” with python version 2.7 by executing the command below on your system’s python configured command line tool.
SNAP Toolboxes can be downloaded from the link below: Create Virtual Environmentīefore you should install the SNAP software on your system, I would recommend creating a virtual environment either using pip or conda. In this tutorial, we will install the latter. You can install each toolbox separately or you can install the all-in-one version. Configure optimal settings for snappy, and.Configure snappy during and after the SNAP installation process,.Download and install latest SNAP release (v7.0) on Windows,.The article will cover the following topics: Doing so will allow you to efficiently analyze large volumes of satellite data by automating image processing tasks using python scripts. In this article, I want to go through the step-by-step process of configuring your python installation to use the SNAP-Python or “ snappy” interface. The project page of SNAP and the individual toolboxes can be found at. SNAP can be utilized not only as a research support tool for Sentinel missions (Sentinel 1, Sentinel 2 and Sentinel 3) but also as a functional outlet for effectively processing large amounts of satellite data, including data from other missions such as Landsat, MODIS and RapidEye in various different formats.
It consists of several modules that can be modified and re-used for image processing, modelling and visualization of data from earth observation satellites. Developed by the European Space Agency (ESA), SNAP is a common software platform that supports the Sentinel missions.
0 kommentar(er)
